(c) A fully connected neural network is given below. ● x1 x2 1 Note that: i. ii. iii. w11 w12 w21, w31 w22 w32 al กาอย 1 h12 h21 a2h22 h11 h31 y1 81: y2 The ReLU activation function is defined as follows: h32 For an input x, ReLU(x) = max(0, x) The Softmax function is defined as follows: S Given the inputs, xi, i=1, ..., n; the outputs are as follows: exi = j=1 Calculate the net inputs a1 and a2. Calculate the ReLU outputs. Calculate y1 and y2. Softmax exj Suppose that the weights of the network are w11=-1.5; w12=-1.0, w21-1.2; w22=1.0; w31=-0.6; w32=1.0 h11=-0.5; h12=-1.0; h21=1.0, h22=1.5; h31= 0.4; h32=0.3 For an input of x1= 1.0 and x2=2.0 z1 z2

(c) A fully connected neural network is given below. ● x1 x2 1 Note that: i. ii. iii. w11 w12 w21, w31 w22 w32 al กาอย 1 h12 h21 a2h22 h11 h31 y1 81: y2 The ReLU activation function is defined as follows: h32 For an input x, ReLU(x) = max(0, x) The Softmax function is defined as follows: S Given the inputs, xi, i=1, ..., n; the outputs are as follows: exi = j=1 Calculate the net inputs a1 and a2. Calculate the ReLU outputs. Calculate y1 and y2. Softmax exj Suppose that the weights of the network are w11=-1.5; w12=-1.0, w21-1.2; w22=1.0; w31=-0.6; w32=1.0 h11=-0.5; h12=-1.0; h21=1.0, h22=1.5; h31= 0.4; h32=0.3 For an input of x1= 1.0 and x2=2.0 z1 z2

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Implement the winnow algorithm and use it learn weight for w0 (for bias), w1 and w2 and w3 for x1 , x2 and x3 for the following Boolean function: Please include all steps for using the algoritm X1 X2 X3 Y 0 0 0 0 1 1 0 1 0 1 0 0 0 0 1 0 0 1 1 1 1 0 1 1 1 1 1 0
Programming in language( ++C)
5. Simplify the following functions using a K-map: (a) F(X,Y) = m2 + m; (b) F(X,Y) = X + X'Y (c) F(X,Y) = X' + XY' (d) F(X,Y.Z) =mo + m2 + mg + m, (e) F(X,Y,Z) = X'Y'Z' + X'YZ + XY'Z + XYZ (f) F(X,Y.Z) = A(0, 2, 5, 7) (g) F(X,Y,Z) = XY'Z + X' +Z + Y'Z' (h) F(W,X,Y.Z) = X'Y'Z' + XYZ' + WXY + W'X'Y' + WZ (i) F(W.X,Y.Z) =X' + XZ' + WXY + W'Y' + WZ
Q1. Implement a given function by using PAL in which we have 3 inputs and 4 outputs: A(X, Y, Z) = E (1, 2, 4, 6) B(X, Y, Z) = E (0, 1, 3, 6, 7) C(X, Y, Z) = E (1, 2, 4, 6, 7) D(X, Y, Z) = E (1, 2, 3, 5, 7)
Do not copy from other websites Correct and detailed answer will be Upvoted else downvoted. Thank you!
4 variable kmap
Take plot (4.5, 5) and write program for this code. Using matlab
Make a k-map for each output segment (a, b, c, d, e, f, g) and write a Boolean function which describes each output as a function of inputs (and their complements). Fill in the resulting functions below. a:
Electrical Engineering Here is a resubmission of my question: I am given the task of writing a code(MATLAB or Python) that will compare the 3 path loss models( C.I, F.I and Dual Slope)models. I just uploaded a screenshot of the formulars/models. The operating frequency = 61 GHz. The plot should be PATHLOSS versus Distance. Distance here refers to the Rx-Tx ( a set of distances between the Transmitting antenna and Receiving antenna )and they could be from 2m to 20m, or to any range of your choice. # If you need further information, you please let me know. I am hopeful. Many thanks
M5.
Simplify the following Boolean function using Karnaugh Map
Let Q8 = <a, b | a8 =e, a4 = b2, b-1ab = a-1>. Find a Hamiltoniancircuit in Cay({a, b}:Q8).